کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
549425 872372 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Towards a capabilities database to inform inclusive design: Experimental investigation of effective survey-based predictors of human-product interaction
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر تعامل انسان و کامپیوتر
پیش نمایش صفحه اول مقاله
Towards a capabilities database to inform inclusive design: Experimental investigation of effective survey-based predictors of human-product interaction
چکیده انگلیسی

A key issue in the field of inclusive design is the ability to provide designers with an understanding of people’s range of capabilities. Since it is not feasible to assess product interactions with a large sample, this paper assesses a range of proxy measures of design-relevant capabilities. It describes a study that was conducted to identify which measures provide the best prediction of people’s abilities to use a range of products. A detailed investigation with 100 respondents aged 50–80 years was undertaken to examine how they manage typical household products. Predictor variables included self-report and performance measures across a variety of capabilities (vision, hearing, dexterity and cognitive function), component activities used in product interactions (e.g. using a remote control, touch screen) and psychological characteristics (e.g. self-efficacy, confidence with using electronic devices). Results showed, as expected, a higher prevalence of visual, hearing, dexterity, cognitive and product interaction difficulties in the 65–80 age group. Regression analyses showed that, in addition to age, performance measures of vision (acuity, contrast sensitivity) and hearing (hearing threshold) and self-report and performance measures of component activities are strong predictors of successful product interactions. These findings will guide the choice of measures to be used in a subsequent national survey of design-relevant capabilities, which will lead to the creation of a capability database. This will be converted into a tool for designers to understand the implications of their design decisions, so that they can design products in a more inclusive way.


► Identifies the best proxy measures that best predicts product interaction.
► Component functions and component activities have greater predictor power.
► A database of human capabilities cannot rely on self-report measures alone.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Ergonomics - Volume 43, Issue 4, July 2012, Pages 713–726
نویسندگان
, , , , ,